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Core AI

68,645 papers (13 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Multimodal Learning (14,926) Large Language Models (9,515) Interpretability (8,292) Foundation Models (5,277) Agent Systems (4,710) Causal Inference (3,958) Multi-Agent Systems (3,842) AI Safety (3,602) Planning (3,482) Reasoning (3,360) Human-AI Interaction (2,465) Model Compression (2,258) Natural Language Processing (2,186) Responsible AI (2,130) Computer Vision (1,901) Game AI (1,846) Reinforcement Learning (1,698) Adversarial Learning (1,500) Autonomous Vehicles (1,488) Language (1,345) Fairness (1,279) Game Theory (1,129) Robotics (1,087) Dialogue Systems (1,066) Efficient Computing (956) Vision-Language Models (928) Knowledge Graph (735) Procedural Generation (709) Trajectory Prediction (676) Evaluation (655) Privacy (617) Natural Language Generation (573) Information Retrieval (541) Memory (526) Decision Making (480) Safety (474) Knowledge Representation (409) Knowledge (386) Information Extraction (378) Speech Processing (310) Knowledge Graphs (282) Security (256) Uncertainty Quantification (246) Representation Learning (239) Retrieval-Augmented Generation (225) Knowledge Editing (200) Question Answering (199) Attention (198) Robustness (186) Knowledge Distillation (185) Code Generation (168) Explainability (142) Brain-Computer Interface (141) Neural Networks (136) Anomaly Detection (132) Automated Reasoning (84) Natural Language Understanding (81) Multi-Lingual Learning (79) Education (64) Machine Translation (57) Learning Paradigms (57) Speech Recognition (55) Risk Management (51) Visual Question Answering (49) Communication (35) Motion Analysis (32) Natural Language Inference (29) Sentiment Analysis (19) Representation (17)

Papers per year

1
11
99
273
4,063
17,181
2000
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Papers (including subtopics)

Optimal Pointing Sequences in Spacecraft Formation Flying Using Online Planning with Resource Constraints L4DC 2022 Optimal Training of Fair Predictive Models CLeaR 2022 Optimal Transport for Causal Discovery ICLR 2022 Optimising Equal Opportunity Fairness in Model Training NAACL 2022 Optimistic Initialization for Exploration in Continuous Control AAAI 2022 Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games NeurIPS 2022 Optimization for Classical Machine Learning Problems on the GPU AAAI 2022 Optimized Potential Initialization for Low-Latency Spiking Neural Networks AAAI 2022 Optimizing Binary Decision Diagrams with MaxSAT for Classification AAAI 2022 Optimizing Global Influenza Surveillance for Locations with Deficient Data (Student Abstract) AAAI 2022 Optimizing Naive Bayes for Arabic Dialect Identification EMNLP 2022 Optimizing Tensor Network Contraction Using Reinforcement Learning ICML 2022 Orca: A Distributed Serving System for Transformer-Based Generative Models OSDI 2022 Ordinal causal discovery UAI 2022 OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression NeurIPS 2022 Orientation Estimation of Abdominal Ultrasound Images with Multi-Hypotheses Networks MIDL 2022 Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance NAACL 2022 OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks CVPR 2022 Orthogonal Statistical Learning with Self-Concordant Loss COLT 2022 Oscillatory Tracking of Continuous Attractor Neural Networks Account for Phase Precession and Procession of Hippocampal Place Cells NeurIPS 2022 Outcome Assumptions and Duality Theory for Balancing Weights AISTATS 2022 Outlier Dimensions that Disrupt Transformers are Driven by Frequency EMNLP 2022 Out of Distribution Detection via Neural Network Anchoring ACML 2022 Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations ICLR 2022 Out-of-Distribution Generalization With Causal Invariant Transformations CVPR 2022